The aim of AED is to automatically identify the occurrence of target sound events, such as glass breaking or dog barking, within an audio signal capturing an acoustic scene.
Identifying these sound events within complex scenes is a challenging and open research problem that has attracted much attention in recent years, observed with the increase in the literature and particularly with the growing research interest in the DCASE Communityhttp://dcase.community.
Two common AED uses-cases are acoustic monitoring in domestic [1]} and urban [2]} environments.
In both scenarios, the use of audio to train detection models in a centralized training context raises considerable privacy concerns. In these environments, there are speech and other sounds that are confidential which should not be shared or stored insecurely.
